Two-Way Factorial ANOVA A researcher was interested in whether an individual's interest in politics was influenced by their level of education and gender. They recruited a random sample of participants to their study and asked them about their interest in politics, which they scored from 0 to 100, with higher scores indicating a greater interest in politics. The researcher then divided the participants by gender (Male/Female) and then again by level of education (School/College/University). Therefore, the dependent variable was "interest in politics", and the two independent variables were "gender" and "education". This is the Output we got: Between-Subjects Factors N Gender 1 9 2 11 Edu_level 1 5 2 8 3 7 Post Hoc Tests Edu_level
Two-Way Factoral Anova
Two-Way Factorial ANOVA A researcher was interested in whether an individual's interest in politics was influenced by their level of education and gender. They recruited a random sample of participants to their study and asked them about their interest in politics, which they scored from 0 to 100, with higher scores indicating a greater interest in politics. The researcher then divided the participants by gender (Male/Female) and then again by level of education (School/College/University). Therefore, the dependent variable was "interest in politics", and the two independent variables were "gender" and "education". This is the Output we got: Between-Subjects Factors N Gender 1 9 2 11 Edu_level 1 5 2 8 3 7 Post Hoc Tests Edu_level
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